Allianz Financial Services (AFS) is a banking group offering end-to-end banking and financial solutions in South East Asia through its consumer banking, business banking, Islamic banking, investment finance and stock broking businesses as well as unit trust and asset administration, having served the financial community over the past five decades.
AFS has built their entire infrastructure on AWS which includes web applications built on EC2, Files and logs on S3, databases on Amazon RDS, DynamoDB and DWH on Redshift. AFS built the data sources and now working on understanding the ML capabilities and establishing the guidelines for building the Amazon ML model insights. Please advice. Select 4 options.

Answer options:

A.Different types of linear regression is implemented as Binary classification, and multiclass classification respectively and logistic regression is implemented as regression model
B.Prediction accuracy metric defines the overall success of the model
C.Different types of logistic regression is implemented as Binary classification, and multiclass classification respectively and linear regression is implemented as regression model
D.Prevent overfitting the models by using cross validation techniques
E.Visualizations explore the accuracy of your model beyond the prediction accuracy metric
F.overfitting (through hyper parameters) identifies the right model which can be generalized later

Answer :
B. C, D,E
Option A is incorrect -Different types of logistic regression is implemented as Binary classification, and multiclass classification respectively and linear regression is implemented as regression model
https://docs.aws.amazon.com/machine-learning/latest/dg/types-of-ml-models.html
Option B is correct -A prediction accuracy metric to report on the overall success of the model
https://docs.aws.amazon.com/machine-learning/latest/dg/ml-model-insights.html
Option C is correct -Different types of logistic regression is implemented as Binary classification, and multiclass classification respectively and linear regression is implemented as regression model
https://docs.aws.amazon.com/machine-learning/latest/dg/types-of-ml-models.html
Option D is correct - Prevent overfitting which will make lose generalization
https://docs.aws.amazon.com/machine-learning/latest/dg/evaluating_models.html#overfitting
Option E is correct -Visualizations to help explore the accuracy of your model beyond the prediction accuracy metric
https://docs.aws.amazon.com/machine-learning/latest/dg/ml-model-insights.html
Option F is incorrect - Prevent overfitting which will make lose generalization
https://docs.aws.amazon.com/machine-learning/latest/dg/evaluating_models.html#overfitting